Alyona Vert.

AI 101: Hermes vs OpenClaw: Local AI Agents Compared

Hermes Agent vs OpenClaw compared: memory architecture, self-improving skills, scheduling, and safety. Which local AI agent fits your workflow?

Best Open-Source Vector Databases for LLMs in 2026

The best open-source vector databases for RAG and LLM apps in 2026: Milvus, Qdrant, Weaviate, Chroma, Faiss, pgvector, and more, compared by use case.

AI 101: From Prompt Engineering to Skill Engineering

A clear guide to skill engineering for AI agents with free fresh methods: SkillOpt, SkillOps, and SkillMOO for training, maintaining, and optimizing skills

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

GRPO, DPO, RLVR, DAPO, GSPO, ARPO, VPO – 2026 reasoning RL methods in one place. A reference guide for training reasoning models with RL.

What is Cosmos World Foundation Model Platform?

NVIDIA Cosmos is a platform of world foundation models for Physical AI: video curation, tokenizer, diffusion and autoregressive WFMs, and guardrails explained. Plus sensational 2026 update – Cosmos 3 omnimodel world model

20 Advanced RAG Types to Know in 2026

20 cutting-edge RAG approaches in 2026: Agentic RAG, MiA-RAG, HGMem, Graph-O1, Bidirectional RAG, multimodal, multilingual, structured and security RAG systems.

12 AI Co-Scientists of 2026

5 most notable breakthroughs plus 7 open-source co-scientists for you experiments

AI 101: From Tokens to Answers: What Actually Happens During LLM Inference

How LLM inference works end-to-end: tokenization, embeddings, prefill, decode, KV cache, batching, retrieval, and modern inference orchestration.

AI 101: Your Ultimate Guide to Attention: Mechanism, QKV, and KV Cache

Learn how attention in AI works, from queries, keys, and values to KV cache, self-attention, and modern approaches

10 Comprehensive Resources about Agentic Memory

Surveys, articles and videos that will help you understand how memory works in AI Agents

AI 101: Agentic Vector Databases – What Is That?

How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.

9 New Approaches to Multi-Agent Systems

9 emerging multi-agent system architectures explained: recursive agents, org-based MAS, persistent memory, and more. A curated research digest for AI practitioners.

AI 101: What’s So Magical About Embeddings?

How tokens become learnable coordinates, and geometry shapes how context connects and meaning comes to life

The Evolution of LoRA: 15+ Variants You Should Know

A complete guide to LoRA variants: QLoRA, DoRA, MoE-LoRA, and 15+ more. Trace the evolution of parameter-efficient fine-tuning for large language models.

13+ Attention Mechanisms You Should Know

Self-attention, GQA, FlashAttention, MLA and more: explore 13+ attention mechanisms that define how transformers and LLMs process context and meaning.

AI 101: What Is a Token (and why it runs AI)?

A token is the unit an AI model reads and predicts. Learn how tokenization works (BPE, WordPiece), why context windows matter, and how tokens set API cost.

10 Open Projects for AI Security

AI 101: Gemma 4 with OpenClaw: Architecture, Setup, and Why Developers Are Switching

Gemma 4 runs locally via Ollama with zero API cost. Full architecture breakdown — attention mix, MoE, per-layer embeddings — and why OpenClaw users are switching from Claude.

9 Open Agents That Improve Themselves

Inspired by Hermes Agent

14 JEPA Milestones: The Complete Map of AI Progress

A complete guide to all JEPA models: I-JEPA, V-JEPA, MC-JEPA, LeJEPA, ACT-JEPA, and more — traced through 14 milestones from image learning to world modeling.

AI 101: Transformers Depth Is an Addressable Dimension

Deep transformers used to accumulate layer history. Now they are starting to retrieve from it.

13 Modern Reinforcement Learning Approaches for LLM Post-Training

So many RLs... Here are some approaches that you should know about

Nemotron 3 and the Surprising Coalition Building New AI in the Open

Nemotron Coalition is NVIDIA's bet on open frontier AI — with Mistral, Cursor, Black Forest Labs and others. How Nemotron 3 works and who holds power.

7 Emerging Memory Architectures for AI Agents

AI 101: Beyond RL: The New Fine-Tuning Stack for LLMs

Discussing the rise of generated adapters, like Text-to-LoRA, Doc-to-LoRA and others, Evolution Strategies (ES) optimization and the future of dynamic fine-tuning